Six sigma DMAIC approach with uncertainty quantification and propagation in garments industry


  • Prithbey R. Dey Department of Industrial & Production Engineering, Dhaka University of Engineering and Technology, Gazipur-1707, Bangladesh
  • Shaim Mahamud Department of Industrial & Production Engineering, Dhaka University of Engineering and Technology, Gazipur-1707, Bangladesh
  • Md. Injamamul Haque Department of Industrial & Production Engineering, Dhaka University of Engineering and Technology, Gazipur-1707, Bangladesh
  • Muhammad Saiful Amin Chowdhury Department of Industrial & Production Engineering, Dhaka University of Engineering and Technology, Gazipur-1707, Bangladesh
  • Joya Rani Das Department of Management Information System, University of Dhaka, Dhaka-1000, Bangladesh


Six Sigma Philosophy, DMAIC, Probability Distribution, FMEA


This paper proposes a probability based six sigma approach to improve the process and create a better work environment for the garment industry using quantitative data. The DMAIC (Define, Measure, Analyze, Improve, and Control) approach of six sigma philosophy is used in this research with effective quality tools in different phases. The crucial defects are identified with experts and workers, and the information are documented with necessary exploratory analysis. Control chart and Pareto chart are used to find out the problematic production lines and the dominant factors. Probability distribution is included in the exploratory data analysis for uncertainty quantification and propagation to have a genuine approximation of the total amount of defects from the production batch. It helps to find a reliable sigma level to understand the condition. The present sigma level of the production is 3.12 which could be improved significantly with appraisal of the total production system. Cause-effect diagram, and Failure mood and effect analysis (FMEA) are applied to get the root causes of the problems and to prioritize the severe risks. Considering all information and condition of the production system, feasible solutions are proposed to improve the system and maintain the development. This methodology can be applied to any apparel production to enrich the quality while identifying and reducing the defects in the mass production.


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How to Cite

Dey, P. R. ., Mahamud, S. ., Haque, M. I. ., Chowdhury, M. S. A. ., & Das, J. R. . (2020). Six sigma DMAIC approach with uncertainty quantification and propagation in garments industry. Journal of Production Systems and Manufacturing Science, 2(1), 70-83. Retrieved from



Original Research Articles